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H.264 encoder speed-up via joint algorithm/code-level optimization

机译:通过联合算法/代码级优化实现H.264编码器加速

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The outstanding coding performance of H.264 comes with the cost of significantly higher complexity, making it too complex to be applied widely. This work aims at accelerating the H.264 encoder using joint algorithm/code-level optimization techniques so as to make it feasible to perform real-time encoding on a commercial personal computer. We propose a fast inter-mode decision scheme based on spatio-temporal information of neighboring macroblocks for the algorithm-level optimization. We use a commercial profiling tool to identify most time consuming modules and then apply several code-level optimization techniques, including frame-memory rearrangement, single-instruction-multiple-data (SIMD) implementations based on the Intel MMX/SSE2 instruction sets. Search mode reordering and early termination for variable block-size motion estimation, are then applied to speed up these time-critical modules. The simulation results show that our proposed joint optimization H.264 encoder achieves a speed-up factor of up to 18 compared to the reference encoder without introducing serious quality degradation.
机译:H.264出色的编码性能伴随着复杂度显着提高的代价,使其过于复杂而无法广泛应用。这项工作旨在使用联合算法/代码级优化技术来加速H.264编码器,从而使其在商用个人计算机上执行实时编码变得可行。我们提出了一种基于相邻宏块的时空信息的快速模式间决策方案,用于算法级优化。我们使用商业分析工具来识别最耗时的模块,然后应用几种代码级优化技术,包括基于Intel MMX / SSE2指令集的帧内存重排,​​单指令多数据(SIMD)实现。然后将搜索模式重新排序和可变块大小运动估计的提前终止应用于加速这些时间紧迫的模块。仿真结果表明,与参考编码器相比,我们提出的联合优化H.264编码器可实现高达18的加速因子,而不会导致质量下降。

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